Why Study Math at Cornell?
In the classroom
Mathematics is a language and like all languages is learned best through immersion. Cornell's One Course At A Time schedule gives students the opportunity to focus intently without artificial time constraints, allowing learning to occur quickly and deeply.
OCAAT and Cornell's small class sizes benefit math students of all abilities in several ways:
- Exams are not timed.
- Group work is often used in class.
- Extended contact time with professors enables individualized learning -- nobody is left behind or held back.
Cornell students undertake meaningful research under the guidance of faculty members during summers and through independent study. They also have the opportunity to participate in VIGRE, a summer REU program sponsored by the University of Iowa mathematics department, as part of Cornell's participation in the Heartland Mathematics Partnership.
Our students frequently attend graduate school, often in conjunction with other disciplines. Recent graduates have pursued advanced degrees in physics, chemistry, statistical genetics, sociology/statistics, and actuarial science, among others.
Students have the opportunity to give or receive assistance in math and statistics through the library's Quantitative Reasoning Studio. The studio is directed by a full-time academic consultant who also delivers subject-specific lessons in math and statistics to a wide range of Cornell courses.
The Department of Mathematics and Statistics is housed in the recently renovated Law Hall which has become the college's technology center. In addition to making our classrooms technology-ready and adding research areas, we created a modern statistics classroom designed with activities-based statistics in mind.
Each student's desk holds a current-generation computer with data analysis software. Students learn to do data analysis (individually and in groups) and investigate interesting data sets. The classroom is equipped with a permanently mounted multimedia projector that can display computer images, videotapes, DVD and CD images and cable television. Equipment (including computers, laser printer, DataDesk software, video/computer projector and network equipment) was funded in part by the National Science Foundation ILI Grant Computing-enhanced Experiential Learning in the Introductory Statistics Course.